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HC3 insurance case

From black box to blueprint.

A Stingray-based policy administration platform looked like no-code on the surface. Underneath sat 5M lines across five languages — understood by a thin global specialist pool — until HC3 compressed discovery and unlocked a high-fidelity path to .NET and Azure.

Based on an anonymized customer engagement. The customer is not named. Metrics reflect that project’s outcomes; results vary by estate.

2yr → 1mo
discovery timeline
5M
lines of code
<1K
fluent specialists worldwide
.NET + Azure
high-fidelity plan + AI assist

01 · Situation

No-code surface. Multi-language core.

At an insurance conference, a CTO and chief architect described a familiar bind: modernizing a Stingray-based core insurance workflow platform. Stingray gave them a no-code foundation, but beneath it sat logic implemented across five different languages — Delphi, XML, JavaScript, SQL, and HTML baked into a single Stingray codebase. By 2025, that hidden complexity had become a growth constraint.

02 · Problem

Discovery kept getting harder.

They struggled to find engineers who could confidently support the platform, and even experienced teams found end-to-end workflows hard to trace. Fragmented business logic across languages, plus the effort to discover, document, and validate existing use cases, kept increasing — while a multi-year discovery plan stood between them and credible policy administration modernization to .NET and Azure.

The stack

Five languages. One codebase. One modernization target.

Single codebase

Stingray policy administration

  • DelphiCore business logic & UI
  • XMLConfiguration & data contracts
  • JavaScriptClient workflows & scripts
  • SQLPersistence & reporting
  • HTMLPresentation & forms

03 · Challenge

Where modernization programs stall.

The work started where most Stingray-to-.NET and Azure programs stall: establishing a trusted, system-wide understanding of the live estate — not a slide of intended architecture.

Pressure pointWhat was hardWhat was needed
Language meshBusiness rules and workflows were split across five languages inside one platform, not five clean services.Cross-language tracing so a policy change could be followed from form to rule to database.
Talent & ownershipA thin global pool of engineers who understand Stingray-class estates; onboarding meant archaeology, not orientation.Living documentation so the system is no longer locked inside a scarce specialist community.
Modernization planningA multi-year discovery plan before any credible Stingray → .NET and Azure cutover sequencing.Compressed, evidence-backed discovery and a high-fidelity plan the team could execute with AI assistance.

04 · Approach

Map the mesh before you plan the move.

Production software does not live in a single language. It is a mesh of code, configuration, DevOps, containers, services, libraries, infrastructure, and data models. If documentation misses those layers, it is not documentation — it is an excerpt. Adapts traced and connected functionality end to end into a navigable source of truth.

DimensionBefore HC3With HC3
Starting pointNo-code surface with opaque multi-language logic underneath.End-to-end map of workflows, rules, integrations, and dependencies.
Documentation depthExcerpts that miss DevOps, data models, and cross-language edges.Facet-complete documentation across languages, services, and ops dependencies.
Planning confidenceModernization stalled on “what exists today?”A trusted blueprint that unlocked a Stingray → .NET + Azure plan and AI-assisted delivery.

05 · Results

Faster discovery. Shared knowledge. Executable plan.

Discovery

2yr → 1mo

A planned two-year discovery effort compressed to roughly a month once HC3 produced a trusted, system-wide map of the live estate.

Knowledge risk

<1K → documented

The legacy system was understood by fewer than ~1,000 fluent practitioners worldwide. HC3 turned tribal knowledge into shared, queryable documentation the broader team could use.

Execution

.NET + Azure

A grounded Stingray → .NET application modernization plan and Azure migration plan, with an AI assistant accelerating delivery against verified workflows — not guesses.

There is no public open-source Stingray developer community or published global headcount. The platform is a commercial Sapiens P&C suite with vendor- and partner-mediated support; independent implementers note that knowledgeable Stingray developers are hard to find (Cameo Code wiki revision oldid=83, accessed 2026-07-12). “Fewer than 1,000 fluent specialists worldwide” reflects the scarcity observed on this engagement, grounded by that public signal — not a published industry census.

See it on your codebase

See Adapts HC3 on a multi-language insurance estate.

30-minute technical walkthrough with an enterprise architect. No slides · a live demo on real code.